Full Length Research Paper
ABSTRACT
Yam anthracnose disease (YAD), caused by the fungus Colletotrichum gloeosporioides Penz, is the most damaging fungal disease of Dioscorea alata yam worldwide. Local yam varieties, which sustain Côte d'Ivoire’s farmers and other end-users livelihoods, are highly susceptible to this pathogen. Thus, there is a need for developing new yam cultivars to sustain yam production in Côte d'Ivoire. To achieve such objective, identifying and selecting sources of resistance within the existing germplasm is crucial prior to the establishment of a breeding program. This study, therefore, aimed at determining the field resistance to C. gloeosporioides of 115 D. alata landrace varieties. Field experiments were conducted at the Research Station for Food Crops (SRCV) of the CNRA, Bouaké City, in Central Côte d'Ivoire, for three growing seasons. Results showed that symptoms of the anthracnose disease were more noticeable four months after planting (P3): high disease severity and incidence scores. At this period, ‘Betebete’ group (DSS = 3.40 and DI = 99.81%) was the most sensitive to anthracnose disease across years. In contrast, ‘Brazo’ (DSS = 2.24 and DI = 94.81%) and ‘Florido’ (DSS = 2.59 and DI = 97.23%) groups were the least sensitive. This finding indicates that local yam accessions from Côte d’Ivoire have different sensitivity levels to anthracnose disease attacks. Therefore, the genetic diversity from this work should be further exploited by yam breeding and genetic improvement programs for developing cultivars, combining resistance to YAD, high yield potential, and superior tuber quality to meet producers and consumers’ needs.
Key words: Anthracnose, Côte d'Ivoire, disease resistance, environment, Dioscorea alata, plant breeding.
INTRODUCTION
Yam (Dioscorea spp.) is an economically important staple food crop for over 300 million people in tropics and subtropics (Kutama et al., 2013; Reddy et al., 2015; Adifon et al., 2019). It is a perennial herbaceous vine, mainly cultivated for its starchy underground tubers. Yam plays an essential role in nutrition and social cultural life of millions of people in West Africa, where its cultivation is extensively practiced (Amani et al., 2004; Tostain et al., 2005; Jayakody et al., 2007; Andres et al., 2017). Yam is also an important source of income for famers and significantly contributes to achieving food security in the yam production areas of West Africa (Sartie and Asiedu, 2014; Mulualem et al., 2018). Besides, it represents the most energy-rich food crop compared to other root and tuber crops such as cassava, sweet potato, and cocoyam (Onyenobi et al., 2014).
In 2018, the global yam production was ~72.6 million metric tonnes. About 70.5 million tonnes (~97%) originated from African countries, and of which, 66.8 million tonnes (92%) came from West Africa (FAOSTAT, 2020). Yam cultivation in Africa is mainly concentrated around the areas referred to as “yam civilization” or “yam belt” (Coursey, 1976). In this area, yam production is dominated by Nigeria, Ghana, Côte d’Ivoire, Benin, Cameroon, and Togo (FAOSTAT, 2020). Two cultivated yam species are dominant for their economic importance: Dioscorea rotundata Poir. and Dioscorea alata L. (Mignouna et al., 2008).
Yam is the largest food crop in Côte d’Ivoire. The country’s 2018 production volume exceeded seven (~7.2) million tonnes (FAOSTAT, 2020). Yam cultivation is mainly practiced in the savannah areas of the central and the northern parts of the country. Cultivation is dominated by the D. alata species, which accounts for 60 to 70% of the total yam production (Doumbia, 1995; Kouakou et al., 2007). Compared to other edible yam species, D. alata exhibits superior agronomic qualities such as high yield potential, ease of propagation, rapid growth to overcome weeds, and long post-harvest storage period of the tubers (Mignouna et al., 2002; Thiele et al., 2020).
Despite the agronomic, nutritional and economic qualities of D. alata, numerous biotic and abiotic constraints threaten its production worldwide. According to Winch et al. (1984) and Abang et al. (2002), one of the most damaging biotic constraints to D. alata production is the anthracnose disease, caused by a microscopic fungus referred to as Colletotrichum gloeosporioides (Penz.). On yams, noticeable symptoms of this pathogen include a significant reduction of tuber yield and quality because of plant necrosis and the reduction of the photosynthetic surface area. When weather conditions are conducive, this disease can lead to 80-90% tuber yield loss (Emehute et al., 1998).
The management of the yam anthracnose disease focuses on the use of cultural techniques based on the destruction of infected plant debris, the introduction of resistant varieties and the use of chemicals (Ano et al., 2005). Compared with the above techniques, variety selection through plant breeding and the use of resistant or tolerant cultivars to anthracnose disease is the most cost-effective and sustainable control measure. It limits amounts of pesticides applied and, thus, ensures low production costs and less harm to environment (Brun et al., 2010). In West Indies, D. alata cultivars with resistant to anthracnose disease were identified through observations under field conditions or tests carried out on whole plants derived from tissue culture (Degras et al., 1984; Onyeka et al., 2006). In Africa and the Solomon Islands, differences in the susceptibility of several yam cultivars have been reported, and among which, TDa291 and DAN087 were identified as moderately resistant (Emehute et al., 1998). Kouakou et al. (2007) carried out similar studies in Côte d’Ivoire using a set of 43 accessions from the core collection of the Centre National de Recherche Agronomique (CNRA). Of these yam accessions, 67% were resistant and 5% were severely attacked. This pioneering work revealed differences in the response of the CNRA’s D. alata varieties to the attack by the C. gloesoporioides. However, the CNRA collection was further enriched by introduction of new accessions from country-wide collections between 2008 and 2013. The CNRA now has over 200 accessions made of local landraces, improved and introduced varieties but, the susceptibility of local varieties to anthracnose disease is not well documented.
The present work aimed to determine the level of resistance to anthracnose disease in a set of 115 local landrace accessions from the CNRA D. alata collection in Côte d'Ivoire. It focused on establishing homogeneous groups which would be used in plant breeding programs for the selection of new clones or resistant cultivars. It is also a preliminary work to the determination of quantitative trait loci (QTLs) that control anthracnose disease resistance in D. alata varieties.
MATERIALS AND METHODS
Experimental site
The experiment was conducted at the Research Station for Food Crops (SRCV) of the National Center of Agronomic Research (CNRA) located in the Bouaké City, in central Côte d'Ivoire (7°44’ N latitude and 5°04’W longitude). The region is characterized by a Boualean-type climate and constitutes a transition zone between the humid forests (with a short dry season) and the dry savannas (with a long dry season) (N’Goran, 2008). It is characterized by a bimodal rainfall regime (March to June and September to October) and two dry seasons (November to February and July to August) (N’zi et al., 2010). Precipitation is irregular in the study site and often reaches an annual amount of ~1,100 mm. The mean annual temperature is 27°C, with variations of 3- 5°C. The Station's soils are shallow, ferritic, and gravelly and result from a weathering of a material of granitic origin (Kouamé, 1992). Regularly exploited, soils are relatively degraded.
Plant materials
The plant material used for the anthracnose disease resistance assessment consisted of 115 landrace accessions of D. alata sourced out of 228 accessions from the CNRA collection. These accessions were partly the result of prospecting and collection missions carried out between 2008 and 2013 in the major yam production areas of the Southern, Central and Northern Côte d'Ivoire. They were divided into different variety groups, including ‘Betebete’ (46 accessions), ‘Brazo’ (8 accessions), ‘Douoble’ (13 accessions), ‘Florido’ (31 accessions), and ‘Nza’ (17 accessions) (Table S1).
Experimental design for screening accessions
The above-described D. alata accessions were screened for anthracnose resistance under natural conditions for three (3) successive years, from 2017 to 2019. The tuber planting was done on ridges made using a ridging machine attached to a tractor in a previously cleared and plowed plot. The trials were set according to a randomized complete block design with five replications per accession in each of the two blocks (5×2 per accession). The total plot size was 60 m × 42 m, representing 0.2520 ha. The blocks were separated by 2 m apart and contained each 115 accessions. Each plot was composed of five cuttings of ~300 to 400 g from tuber fragments or whole tubers of a single accession, at spacing of 1 m within and between rows.
Each year, planting was done at the beginning of the rainy season and harvesting when the plants had completely wilted. The planting dates were different from year to year due to a variation in the return of the rains. Thus, in 2017, planting took place in May, whereas in 2018 and 2019, it was done in July and June, respectively.
Trial management
Regular weeding of the trials was manually carried out using a hand hoe depending on the level of grass cover. Stakes made of wood (Chinese bamboo, teak or other plants) or iron were brought to the yam plants two months after planting to facilitate individual plant assessment for the disease occurrence and evolution. No fertilizer was used.
Observation and anthracnose disease scoring
Observation of anthracnose disease symptom occurrences started two months after planting at the plant growth phase and then monthly until complete senescence of the plants. Thus, three observations were made each year following regular periods. In this work, these are referred to as P1 (2 months after planting, MAP), P2 (3 MAP), and P3 (4 MAP), corresponding to the first, second and the third observation periods, respectively (Table 2). The observations mainly concerned the appearance of anthracnose symptoms on leaves, stems or young shoots and their evolution over time on each plant for all accessions. Plants were observed from bottom to top, and disease intensity/severity was rated using a 1-5 rating scale (Table 1) as described by Asala et al. (2012) and Kolade et al. (2018).
From this scale, the disease severity and the average disease incidence were determined for all accessions in each replication as follows:
Weather conditions at Bouake during the study periods
Data on the amount of rainfall (mm), number of rainy days, and temperature (°C) were collected and provided by the CNRA (Source: GDSME, CNRA). The wind speed and relative humidity for the study periods were obtained through the online site ‘‘www.histoire-meteo.net’’. Table 2 summarizes weather data information during the study periods.
Statistical analysis
Disease severity and incidence scores were used to assess the response of D. alata accessions to the anthracnose disease. Severity score and incidence data were subjected to non-parametric analysis of variance using the Kruskal-Wallis test with the R software 3.6.3 package. When a significant variety group effect was observed at an evaluation period or year at 5% p-value threshold, the Wilcoxon test allowed pairwise comparison of means. The Holm-Bonferroni correction method was carried to constitute homogeneous groups. K-proportion comparison test using the Chi-2 test of the Monte Carlo method with 5000 simulations was also performed to compare the proportions of accessions identified as resistant, moderately resistant, susceptible and highly susceptible in different variety groups, using the XLSTAT 2016 software. In the case of significant differences, the test was supplemented by the Marascuilo procedure to identify the proportions causing the differences. Besides, the mean anthracnose severity scores of different accessions at the most discriminating observation period, that is, P3 (4 MAP) in all three years, were subjected to a hierarchical clustering analysis to classify the accessions according to their sensitivity to disease. The dendrogram construction was performed using the ward.D2 method with cluster packages of R software from a distance matrix, which was generated using the Euclidean method with library stats implemented in R packages.
RESULTS AND DISCUSSION
Characteristics of anthracnose symptoms observed on the leaves of D. alata accessions
The most noticeable symptoms were on the leaves. Two main types of leaf necrotic spots were common: i) the presence of numerous tiny spots throughout the leaf area, including the main and secondary veins (Figure 1A) and ii) the presence of large and irregularly-shaped spots on the leaves (Figure 1B). These spots were surrounded by a yellow halo and particularly concentrated on the leaf veins (Figure 1D). These spots were often strongly present on one edge of the leaf blade (Figure 1C) and their coalescence was leading, at an advanced stage of the disease, to complete necrosis of the infected leaf edge. Characteristic symptoms of the anthracnose disease were observed on D. alata plants during the study period (2017-2019) at Bouaké in central Côte d'Ivoire. These symptoms showed a strong similarity with those described on yam by Baudin (1966) and Reddy (2015). In general, symptoms on older leaves were marked by the occurrence of large spots and many tiny spots, simultaneously or not on the same plant. Jackson et al. (2002) reported similar observations on the same yam species.
Effect of the year of assessment and variety groups on the anthracnose disease severity scores and disease incidence on D. alata
The anthracnose disease severity scores and disease incidence among D. alata variety groups varied significantly with the growing season (year) (p<0.05) (Table 3). Disease severity scores and disease incidence were higher in 2017 and 2019 than they were in 2018 for all tested variety groups. However, the anthracnose disease incidence in ‘Brazo’ variety group was not statistically different across years. The highest disease severity score (2.37) was observed in 2019, while the highest disease incidence value was 71.57% in 2017.
There was a significant difference (p < 0.05) in anthracnose disease severity scores among variety groups within years, except for the disease incidence. In 2017, the highest disease severity score was observed on the ‘Betebete’ variety group (2.42), while it was 1.95 and 2.65 in 2018 and 2019, respectively. Conversely, the lowest scores were obtained on the ‘Florido’ variety group across the three years of observation. These low values were 2.01 in 2017, 1.54 in 2018, and 2.11 in 2019. In addition, the disease incidence has not allowed a significant discrimination among accessions of different variety groups over time, indicating that the occurrence frequencies of the anthracnose disease symptoms did not vary with variety groups (Table 3). The accession responses to anthracnose disease over years would be related to two main factors: environmental or external factors and intrinsic characteristics of the accessions or internal factors. Environmental conditions play a key role in the development and spread of a disease. High rainfall and high relative humidity, coupled with relatively high temperatures and wind, provide favourable conditions for the growth and dispersal of fungi such as C. gloeosporioides (Roberts et al., 2001). Such favourable conditions were predominant at Bouaké during the study period. The growing year 2019 was marked by high rainfall, high relative humidity, and high wind speeds, in contrast to 2018 and 2017, a condition that favoured high pathogen pressure. The annual fluctuations of these environmental parameters would be at the origin of the instability in the response of some accessions to anthracnose disease. For instance, accessions that were identified as resistant, moderately resistant, or susceptible in one year had been moderately resistant, susceptible or highly susceptible in another year, and vice-versa. This instability in accession responses would also be due to several biotic and abiotic factors such as leaf age, pathogen strain, time of infection, and cultural conditions (Egesi et al., 2007; Pwakem, 2015). In yam, young leaves are more susceptible to anthracnose disease. When the period of high rainfall coincides with the stage of plant development where more young leaves are present, the disease spreads rapidly and black spots and necrosis appear on leaves and stems (Reddy et al., 2015). In addition, C. gloeosporioides strains with varying levels of virulence have been identified in D. alata (Abang et al., 2002). Each year, the abundance of the most virulent strains in a plantation could lead to a severe attack of C. gloeosporioides. According to Eynard (1975), the fungal flora could undergo strong annual fluctuations and be abundant in some years while in other years, the number is significantly reduced. Moreover, the trials were established on different plots at the CNRA station and thus could also be the source of the disparity among accessions depending on the year. This observation is supported by the results of Chakraborty et al. (2002) which showed strong spatial variations in populations of C. gloeosporioides in Brazil. Planting carried out late in July 2018, due to a lack or delay of rainfall at the appropriate planting periods (March, April or May) led to low disease severity scores and incidence in contrast to years 2017 and 2019. Egesi et al. (2007) reported similar results. Indeed, these authors found that yams planted early in March showed much more severe symptoms of anthracnose disease than plantations made in April and May. Late plantations in August showed a much lower level of anthracnose disease. However, this result contrast with that of Emehute et al. (1998) who reported that late planting of yams would favour the development of anthracnose symptoms. Despite changes in environmental conditions, some accessions exhibited consistently a low disease severity scores and disease incidence, while other expressed higher values of anthracnose disease parameters. Some of these accessions remained stable across years, showing that accessions of D. alata in Côte d’Ivoire can differently react to anthracnose disease. Internal factors would be related to this kind of responses in accessions. Indeed, plants have a natural defense system that protects them against attacks by pathogens (Jones and Dangl, 2006). During a pathogenic attack, this system activates and mobilizes various types of molecules, including resistance proteins encoded by specific genes (McDowell and Woffenden, 2003). These resistance genes are capable of conferring plants a resistance against attacks from external origins. In general, plant resistance is governed by R genes that can individually act through major genes or joint action through genes called QTL (Quantitative Trait Loci) or QRL (Quantitative Resistance Loci) (Lindhout, 2002; Stuthman et al., 2007; Brun et al., 2010). The presence or absence of these genes in plants could be responsible for the resistant or susceptible character of accessions in D. alata.
Effects of the assessment periods and variety groups on anthracnose disease severity score and disease incidence in D. alata
Anthracnose disease severity scores and disease incidence increased significantly (p<0.05) from period one (P1) to period three (P3) in all the studied variety groups of D. alata. The disease severity scores and disease incidence in different variety groups were higher at P3 (four months after planting) and lower at period P1 (two months after planting).
The highest values of disease severity scores and disease incidence at P3 were reported in the ‘Betebete’ variety group (3.40 and 99.80%, respectively), followed by ‘Douoble’ (2.99 and 99.04%), ‘Nza’ (2.96 and 99.30%), ‘Florido’ (2.59 and 97.23%), and ‘Brazo’ (2.24 and 94.81%) variety groups. The mean disease severity scores were 1.27, 2.06, and 2.99 with disease incidences of 14.65, 68.78, and 98.91% at periods P1, P2, and P3, respectively. At P3, all the selected yam accessions showed symptoms of anthracnose disease and an average disease incidence of 98.9% (Table 4).
The anthracnose disease severity scores and disease incidence were significantly different (p<0.05) among D. alata variety groups at P1 and P3, except the disease incidence at P2 (Table 4). The average disease severity scores of anthracnose were higher in ‘Betebete’ variety group at all three assessment periods (P1, P2, and P3). The average disease severity scores were 1.40, 2.22, and 3.40, respectively. Lower disease severity scores were observed in ‘Florido’ at P1 (1.16) and P2 (1.91) and in ‘Brazo’ at P3 (2.24). The disease incidence was higher in ‘Betebete’ at P1 and P3. It was 23.54% at P1 and 99.80% at P3. On the other hand, the lowest average values for disease incidence were observed in ‘Florido’ and ‘Brazo’ variety groups. Corresponding values were 7.82% in ‘Florido’ at period P1 and 94.81% in Brazo at P3. In this study, D. alata landrace accessions from the CNRA collection responded differently to C. gloeosporioides attacks depending on the periods when the disease symptoms were observed. Some accessions expressed the disease symptoms at earlier stages while others showed symptoms much later. It was the case for accessions from the same variety group. The accessions from ‘Betebete’ variety group exhibited the symptoms of the anthracnose disease earlier than those from other groups. The variation in accession responses according to observation periods could be explained by the progression and spread of the disease under environmental conditions that favour C. gloeosporioides development. Indeed, anthracnose disease attacks all parts of the yam at all stages of its development (Akem, 1999). However, the symptoms are most visible on aerial organs such as leaves and stems. Attacks start with small brown spots with 2 to 5 mm in diameter, often surrounded by a yellow halo (Emehute et al., 1998).
These spots grow, enlarge, and then become coalescent and much larger with irregular shapes over large areas, resulting in wilting, dieback and death of the infected plant tissue (Gautam, 2014). During its progression, the disease gradually spreads from one plant to another by wind and rainwater from specialized structures such as spores or conidia produced in large quantities (Pwakem, 2015).
Anthracnose disease severity scores in accessions of D. alata and frequencies according to periods of symptom observation in each of the years
Based on a semi-quantitative scale, anthracnose disease severity scores 1 and 2 were recorded on D. alata accessions at P1 of each year. At this period, accessions with a score 1 were the most frequent in each of the years. The period P2 was characterized by the presence of scores 1, 2, and 3 with a predominance of score 2, except in 2019, when accessions with score 1 were most frequent. P3 was the period with four levels of anthracnose disease sensitivity: scores 2, 3, 4, and 5. Accessions with a score 3 were predominant at this period across all years. The four levels of accession sensitivity to anthracnose disease in each of the assessment year corresponded to the scores for resistant (R), moderately resistant (MR), susceptible (S) and highly susceptible (HS), respectively. Thus, the period P3 seemed to be the most discriminating period among D.alata accessions for yam anthracnose disease (Figure 2).
Anthracnose disease severity scores and disease incidence among D. alata variety groups four months after planting (P3) across assessment years
Anthracnose disease severity scores varied significantly (p<0.05) among D. alata variety groups at P3 of each year (Table 5). However, apart from 2019, the disease incidence was not different among variety groups in 2017 and 2018. The ‘Betebete’ variety group exhibited the highest disease severity scores across years. Corresponding disease severity values were 3.58, 3.08, and 3.55 in 2017, 2018, and 2019, respectively. Lower disease severity scores were observed in ‘Brazo’ and ‘Florido’ across years. In ‘Brazo’, disease severity scores were 2.31 in 2017, 2.09 in 2018, and 2.34 in 2019. The disease incidence was 95.55% in ‘Brazo’ and reached 100% in other variety groups in 2019. Across years, the highest disease severity score (3.40) and disease incidence (99.81%) were recorded in ‘Betebete’ variety group while the lowest values were recorded in ‘Brazo’.
This assessment period, corresponding to four months after planting, coincided in 2017 and 2019 with the months of September and October, respectively. On the other hand, following a delay in yam planting in 2018, the third disease observation period was in November, a period corresponding to the beginning of the fading phase of the plants and marked by an almost total absence of rainfall. In 2017 and 2019, months of September and October were marked by high rainfall in Bouaké. The coincidence of the yam active development phase and periods of high rainfall favoured the growth of the pathogenic fungi. This coincidence could explain the severe attacks of C. gloeosporioides observed in these periods (Gnago et al., 2004; Mbaye et al., 2008; Dossa et al., 2019). In the West Indies, where similar observations were made, the disease develops at the beginning of September, a period when temperature and humidity levels are high, and the disease damages continue until November (Ano et al., 2005).
Hierarchical clustering of 115 D. alata landrace accessions using mean disease severity scores four months after planting (P3)
Mean disease severity score was calculated using disease scores at P3 across the three years of assessment. From these mean disease severity scores, hierarchical clustering analysis using ward. D2 aggregation method was carried out. It clearly showed four (4) main groups of accessions for the sensitivity to anthracnose disease. The groups were identified about 4 Euclidean distance units (Figure 3). Cluster 1, comprising of 60.87% of accessions, had disease severity scores ranging from 2.42 to 3.18 and represented the moderately resistant accession group. On the other hand, the cluster 2 (14.78% of accessions), scoring from 2.00 to 2.17, was identified as a resistant accession group (Table 6). Susceptible (15.65%) and highly susceptible (8.70%) accessions belonged to clusters 3 and 4, respectively. They scored from 3.25 to 3.89 and from 4.15 to 5.00, respectively. The memberships of each cluster are shown in supplementary file (Table S1). Cluster characterization, using mean disease severity scores and disease incidence in an analysis of variance, indicated significant differences (p<0.05) among groups (Table 6). Distinction among clusters was clearly establishedwith mean disease severity scores. However, it was partially established with disease incidence information. The average disease severity scores were higher in cluster 4 and lower in cluster 2. Thus, anthracnose disease score appears to be a pertinent parameter in discriminating D. alata accessions for anthracnose disease sensitivity under field conditions.
Proportions of accessions from different variety groups for each level of anthracnose disease sensitivity four months after planting (P3) across the three years
Proportions of resistant (R), susceptible (S), and highly susceptible (HS) accessions were significantly different (p<0.05) among and within D. alata variety groups. ‘Brazo’ (0.58) and Florido (0.45) had the highest proportions of resistant accessions, while the ‘Betebete’ had the lowest proportion (0.08). However, the proportions of susceptible (0.21) and highly susceptible (0.13) accessions were higher in the ‘Betebete’ than in other variety groups. Proportions of these reaction categories were lower in ‘Brazo’ and ‘Florido. None of the accessions in ‘Brazo’ was susceptible or highly susceptible. It was the same in ‘Florido’ for the highly susceptible category. The proportions of moderately resistant (MR) accessions did not significantly differ (p>0.05) among variety groups (Table 7).
In other yam growing regions, particularly in the West Indies, studies had also identified four response groups (R, MR, MS and S) on the same yam species, based on laboratory tissue inoculation tests (Onyeka et al., 2006). In contrast, previous studies conducted in Côte d'Ivoire, using a sample set of 43 accessions, identified three response groups based on the disease severity scores: R, S, and HS (Kouakou et al., 2007). In Nigeria, Amusa (2000) also grouped yam accessions into three main groups (R, MS and S) based on observations in field conditions. These differences in the classification of D. alata accessions would be due, on one hand, to the methods used in disease severity rating which varied from one study to another. On the other hand, differences in results could be attributed to testing conditions (natural field/culture or laboratory testing conditions).
CONCLUSION
The results from this study showed that the 115 D. alata local accessions responded differently to severe attacks by C. gloeosporioides, which usually coincided with high rainfall periods. Based on their responses to disease attacks, four (4) main groups were identified and designated as resistant (R), moderately resistant (MR), susceptible (S), and highly susceptible (HS). Resistant accessions belonged mainly to the ‘Brazo’ and ‘Florido’ groups, while susceptible accessions were mostly from the ‘Betebete’ variety group. However, most resistant and moderately resistant accessions were stable across year. This study’s results suggest that there is a genotypic effect that controls anthracnose disease resistance in D. alata accessions. The presence of resistant accessions within the water yam collection of Côte d'Ivoire shows that some varieties are tolerant to natural fungal pathogens, in particular C. gloeosporioides. These accessions could, therefore, be used in genetic improvement programs for the creation and selection of new clones or cultivars.
CONFLICT OF INTERESTS
The authors have not declared any conflict of interests.
ACKNOWLEDGMENTS
The field activities of this study were supported by the Africa Yam project of IITA (International Institute of Tropical Agriculture) and funded by the Bill and Melinda Gates Foundation (BMGF). We also thank the National Agronomic Research Centre (CNRA), a partner in the project, for carrying out the work in Côte d'Ivoire.
REFERENCES
Abang MM, Winter S, Green KR, Hoffmann P, Mignouna HD, Wolf GA (2002). Molecular identification of Colletotrichum gloeosporioides causing yam anthracnose in Nigeria. Plant Pathology 51(1):63-71. |
|
Adifon FH, Yabi I, Vissoh P, Balogoun I, Dossou J, Saïdou A (2019). Écologie, systèmes de culture et utilisations alimentaires des ignames en Afrique tropicale: synthèse bibliographique. Cahiers Agricultures 28(22):1-11. |
|
Akem CN (1999). Yam Die-back and its Principal Cause in the Yam Belt of Nigeria. Pakistan Journal of Biological Sciences 2(4):1106-1109. |
|
Amani NG, Buléon A, Kamenan A, Colonna P (2004). Variability in starch physicochemical and functional properties of yam (Dioscorea sp) cultivated in Ivory Coast. Journal of the Science of Food and Agriculture 84(15):2085-2096. |
|
Amusa NA (2000). Screening of cassava and yam cultivars for resistance to anthracnose using toxic metabolites of Colletotrichum species. Mycopathologia 150(3):137-142. |
|
Andres C, AdeOluwa OO, Bhullar GS (2017). Yam (Dioscorea spp.). In Brian Thomas, Brian G Murray and Denis J Murphy (Editors in Chief). Waltham, MA: Academic Press. Encyclopedia of Applied Plant Sciences 3:435-441. |
|
Ano G, Gelabale J, Marival P (2005). L'igname D. alata, la génétique et l'anthracnose en Guadeloupe, contribution de l'INRA: passage de la collecte-introduction à la création de variétés résistantes. Phytoma, La Défense des Végétaux (584):36-39. |
|
Asala S, Alegbejo MD, Kashina B, Banwo OO, Asiedu R, Lava-Kumar P (2012). Distribution and incidence of viruses infecting yam (Dioscorea spp.) in Nigeria. Global Journal of Bio-Science and Biotechnology 1(2):163-167. |
|
Baudin P (1966). Maladies parasitaires des Ignames en Côte d'Ivoire. O.R.S.T.O.M, collection de référence pp. 87-111. |
|
Brun H, Chèvre AM, Fitt BDL, Powers S, Besnard AL, Ermel M, Huteau V, Marquer B, Eber F, Renard M, Andrivon D (2010). Quantitative resistance increases the durability of qualitative resistance to Leptosphaeria maculans in Brassica napus. New Phytologist 185:285-299. |
|
Chakraborty S, Fernandes CD, Charchar MJA, Thomas MR (2002). Pathogenic Variation in Colletotrichum gloeosporioides Infecting Stylosanthes spp. in a Center of Diversity in Brazil. Ecology and Population Biology 92(5):553-562. |
|
Cooke BM (1998). Disease assessment and yield loss. The Epidemiology of Plant Diseases pp. 42-71. |
|
Coursey DG (1976). The Origins and Domestication of Yams in Africa. In. Harlan JRJ, de Wet MJ & Stemler ABL (Eds), Origins of African Plant Domestication. Mouton, The Hugue pp. 383-404. |
|
Degras L, Arnolin R, Suard C, Poitout R (1984). Selection of D. alata Cultivars of Low Susceptibility to Anthracnose (Colletotrichum gloeosporioides). Plant Protection pp. 627-632. |
|
Dossa JSB, Togbe EC, Pernaci M, Agbossou EK, Ahohuendo BC (2019). Effet des facteurs de l'environnement sur les Fusarium pathogènes des plantes cultivées. International Journal of Biological and Chemical Sciences 13(1):493-502. |
|
Doumbia S (1995). Les déterminants agro-écologiques et socio-économiques de la production et de l'offre en igname en Côte d'Ivoire. Projet 'renforcement des études agro-économiques, document de travail N°4 à IDESSA' IDESSA-K. Université de Leuven pp. 1-13. |
|
Egesi CN, Onyeka TJ, Asiedu R (2007). Severity of anthracnose and virus diseases of water yam (Dioscorea alata L.) in Nigeria I: Effects of yam genotype and date of planting. Crop Protection 26:1259-1265. |
|
Emehute JKU, Ikotun T, Nwauzor EC, Nwokocha HN (1998). Crop protection. In: Orkwor GC, Asieudu R & Ekanayake IJ (Eds), Food yams: Advances in Research. Nigeria, IITA and NRCRI: pp. 143-186. |
|
Eynard M (1975). Influence de quelques facteurs physiques sur la fructification des champignons supérieurs Basidiomycètes (Etude bibliographique). Bulletin mensuel de la Société linnéenne de Lyon 44(9) :330-336. |
|
FAOSTAT (2020). Statistical Division of the Food and Agriculture Organization (FAO), Rome, Italy, www.faostat |
|
Gautam AK (2014). Colletotrichum gloeosporioides: Biology, Pathogenicity and Management in India. Journal of Plant Physiology and Pathology 2(2):1-11. |
|
Gnago AJ, Foua BI K, Lomer CJ (2004). Effet de la température et de l'humidité relative sur le développement de la mycose à Entomophaga grylli BATKO (Zygomycètes, Entomophthorales) chez Zonocerus Variegatus L. (Orthoptera, Pyrgomorphidae). Agronomie Africaine 16(2):19-31. |
|
IITA (1998). International Institute of Tropical Agriculture. Nigeria, Ibadan. www.itta.org |
|
Jackson GVH, Newhook FJ, Winch J (2002). Anthracnose de l'igname: Secrétariat général de la Communauté du Pacifique. Service pour la protection des végétaux. Fiche Technique N°12. pp.1-4. |
|
Jayakody L, Hoover R, Liu Q, Donner E (2007). Studies on tuber starches. II. Molecular structure, composition and physicochemical properties of yam (Dioscorea sp.) starches grown in Sri Lanka. Carbohydrate Polymers 69:148-163. |
|
Jones JDG, Dangl JL (2006). The plant immune system. Nature 444:323-329. |
|
Kolade OA, Oguntade O, Kumar L (2018). Screening for resistance to Yam Anthracnose Disease. Virology/Germplasm Health Unit, IITA Ibadan, Nigeria. pp. 1-14. |
|
Kouakou AM, Noyer JL, Zohouri GP, vernier P, Mignouna HD, Kouame CN, Sangare A (2007). Ploidy status of Dioscorea alata L. and its relationship with resistance to anthracnose in Côte d'Ivoire. Agronomie Africaine 19(1):13-20. |
|
Kouamé B (1992). Adéquation de différents modèles globaux pluie-débit pour déterminer les apports en eau dans les zones de transition et de foret de la Côte d'Ivoire: Essai de régionalisation des paramètres. Thèse de doctorat en mécanique, génie mécanique, génie civil option hydrologie des Sciences de l'Eau et Aménagement, Université de Montpellier II des Sciences et Techniques du Languedoc. 265 p. |
|
Kutama AS, Auyo MI, Binta SB, Lawan SA, Umar S, Fagwalawa LD (2013). Combating yam anthracnose in Nigeria: A Review. Standard Research Journal of Agricultural Sciences 1(3):21-26. |
|
Lindhout P (2002). The perspectives of polygenic resistance in breeding for durable disease resistance. Euphytica 124:217-226. |
|
Mbaye N, Diedhiou PM, Ndiaye S, Samb PI (2008). Caractérisation biologique in vitro de Colletotrichum gloeosporioides Penz, agent de l'anthracnose du manguier (Mangifera indica L). Journal des Sciences Pour l'Ingénieur 9:21-27. |
|
McDowell JM, Woffenden BJ (2003). Plant disease resistance genes: recent insights and potential applications. Trends in Biotechnology 21(4):178-183. |
|
Mignouna HD, Abang MM, Asiedu R (2008). Genomics of Yams, a Common Source of Food and Medicine in the Tropics. In Moore P.H & Ming R (Eds.), Genomics of Tropical Crop Plants, Chapter 23. pp. 549-570. |
|
Mignouna HD, Mank RA, Ellis THN, Bosch VDN, Asiedu R, Abang MM., Peleman J (2002). A genetic linkage map of water yam (Dioscorea alata L.) based on AFLP markers and QTL analysis for anthracnose resistance. Theoretical and Applied Genetics 105:726-735. |
|
Mulualem T, Mekbib F, Shimelis H, Gebre E, Amelework B (2018). Genetic diversity of yam (Dioscorea spp.) landrace collections from Ethiopia using simple sequence repeat markers. Australian Journal of Crop Science 12(08):1223-1230. |
|
N'Goran KE (2008). Effets des légumineuses à graines et des plantes de couverture sur la fertilité des sols et la production de l'igname en zones soudano-guinéenne et guinéenne de Côte d'Ivoire. Thèse de Doctorat, Université de Cocody, Abidjan, Côte d'Ivoire 189 p. |
|
N'ZI JC, Kouamé C, N'guetta ASP, Fondio L, Djidji AH, Sangare A (2010). Evolution des populations de Bemisia tabaci Genn. selon les variétés de tomate (Solanum lycopersicum L.) au Centre de la Côte d'Ivoire. Sciences and Nature 7(1):31-40. |
|
Onyeka TJ, Pétro D, Ano G, Etienne S, Rubens S (2006). Resistance in water yam (Dioscorea alata) cultivars in the French West Indies to anthracnose disease based on tissue culture-derived whole-plant assay. Plant Pathology 55(5):671-678. |
|
Onyenobi VO, Ewuziem JE, Okoye BC, Ogbonna MC (2014). Analysis of profitability of water yam (Dioscorea alata) marketing in Umuahia agricultural zone of Abia State, Nigeria. Journal of Agriculture and Social Research 14(1):98-108. |
|
Pwakem DB (2015). Evaluation of botanicals for the control of anthracnose (Colletotrichum gloeosporioides Penz) of yam (Dioscorea rotundata Poir). Thesis, University for development studies, Tamale, Ghana 110 p. |
|
Reddy PP (2015). Yams, Dioscorea spp. In: Plant Protection in Tropical Root and Tuber Cropskk pp. 193-233. |
|
Roberts PD, Pernezny KL, Kucharek TA (2001). Anthracnose on Pepper in Florida. IFAS/Extension, University of Florida. Plant Pathology P 178. |
|
Sartie A, Asiedu R (2014). Segregation of vegetative and reproductive traits associated with tuber yied and quality in water yam (Dioscorea alata L.). African Journal of Biotechnology 13(28):2807-2818. |
|
Stuthman DD, Leonard KJ, Miller GJ (2007). Breeding Crops for Durable Resistance to Disease. Advances in Agronomy pp. 319-367. |
|
Thiele G, Dufour D, Vernier P, Mwanga ROM, Parker ML, Geldermann ES, Teeken B, Wossen T, Gotor E, Kikulwe E, Tufan H, Sinelle S, Kouakou AM, Friedmann M, Polar V, Hershey C (2020). A review of varietal change in roots, tubers and bananas: consumer preferences and other drivers of adoption and implications for breeding. International Journal of Food Science and Technology 56(3):1076-1092. |
|
Tostain S, Chaïr H, Scarcelli N, Noyer JL, Agbangla C, Marchand JL, Pham JL (2005). Diversité, origine et dynamique évolutive des ignames cultivées Dioscorea rotundata Poir. au Bénin. Les Actes du BRG 5:465-482. |
|
Winch JE, Newhook FJ, Jackson GVH, Cole JS (1984). Studies of Colletotrichum gloeosporioides disease on yam, Dioscorea alata, in Solomon Islands. Plant Pathology 33(4):467-477. |
Copyright © 2024 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0